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๐Ÿš€ ๐—š๐—ถ๐˜๐—›๐˜‚๐—ฏ ๐—ถ๐—ป๐˜๐—ฟ๐—ผ๐—ฑ๐˜‚๐—ฐ๐—ฒ๐˜€ ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—›๐—ค: ๐—ฎ๐—ป ๐—ผ๐—ฝ๐—ฒ๐—ป ๐—ฒ๐—ฐ๐—ผ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ ๐—ณ๐—ผ๐—ฟ ๐—ฎ๐—ด๐—ฒ๐—ป๐˜๐—ถ๐—ฐ ๐—ฑ๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—บ๐—ฒ๐—ป๐˜ ๐Ÿค–

GitHub has announced Agent HQ, a major update that integrates AI agents directly into the GitHub workflow. Rather than introducing a separate interface or tool, GitHub is making agents native to the existing developer experienceโ€”from pull requests to Actions.

๐Ÿงฉ ๐—”๐—ป ๐—ผ๐—ฝ๐—ฒ๐—ป ๐—ฎ๐—ด๐—ฒ๐—ป๐˜ ๐—ฒ๐—ฐ๐—ผ๐˜€๐˜†๐˜€๐˜๐—ฒ๐—บ

Agent HQ turns GitHub into a hub for multiple coding agents from providers such as OpenAI, Anthropic, Google, Cognition, and xAI, all available through a paid Copilot subscription.

This unified approach aims to reduce fragmentation across AI coding tools and centralise their management, governance, and monitoring.

Developers will soon be able to assign and track agents through a new Mission Control interfaceโ€”accessible across GitHub, VS Code, CLI, and mobile. Each agent can run tasks in parallel, with fine-grained controls for CI, permissions, and access policies.

๐Ÿง  ๐—˜๐˜…๐˜๐—ฒ๐—ป๐˜€๐—ถ๐—ผ๐—ป ๐˜๐—ผ ๐—ฉ๐—ฆ ๐—–๐—ผ๐—ฑ๐—ฒ

In VS Code, GitHub introduces Plan Mode, a new way to collaborate with Copilot. It asks clarifying questions and builds a structured plan before code generationโ€”improving accuracy and reducing rework.

Developers can also define custom agents through AGENTS.md files to specify coding preferences or enforce testing conventions.

Additionally, VS Code now supports the GitHub MCP Registry, enabling one-click setup for integrations such as Stripe, Figma, and Sentry. VS Code is currently the only editor to implement the full MCP specification.

๐Ÿ›ก๏ธ ๐—–๐—ผ๐—ป๐˜๐—ฟ๐—ผ๐—น, ๐—พ๐˜‚๐—ฎ๐—น๐—ถ๐˜๐˜†, ๐—ฎ๐—ป๐—ฑ ๐—ผ๐—ฏ๐˜€๐—ฒ๐—ฟ๐˜ƒ๐—ฎ๐—ฏ๐—ถ๐—น๐—ถ๐˜๐˜†

For organisations, Agent HQ introduces enterprise-grade controls:

  • GitHub Code Quality (public preview) offers maintainability, reliability, and coverage metrics across repositories.
  • Copilot Metrics Dashboard provides visibility into AI adoption and performance.
  • A Control Plane manages agent permissions, audit logging, and AI access policies.

This structure places governance and transparency at the centre of GitHubโ€™s AI strategy, ensuring that automation enhancesโ€”not replacesโ€”developer oversight.

โš™๏ธ ๐—™๐—ผ๐—ฟ ๐—ฑ๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—ฒ๐—ฟ๐˜€, ๐—ฏ๐˜† ๐—ฑ๐—ฒ๐˜ƒ๐—ฒ๐—น๐—ผ๐—ฝ๐—ฒ๐—ฟ๐˜€

GitHub positions Agent HQ as an evolution of practical AI adoption, not another standalone product. It builds on the same primitivesโ€”Git, pull requests, issues, Actionsโ€”while enabling multi-agent orchestration within existing workflows.

In short, Agent HQ marks the transition from isolated โ€œAI assistantsโ€ to integrated, governable development agents operating under a common control layer.

๐Ÿง  Whether you use OpenAIโ€™s Codex, Anthropicโ€™s Claude, or Googleโ€™s Jules, GitHubโ€™s approach signals a clear direction: AI collaboration must be native, observable, and under developer control.

More info here.

#GitHub #Copilot #AgentHQ #AIagents #developerexperience #opensource #VSCode #softwaredevelopment #devtools #AndroidDev #kotlin #androiddeveloper

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